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Mixing implicit and explicit probes: finding a ground truth for engagement in social human-robot interactions

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Ginevra CastellanoAuthors Info & Claims

HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

Pages 140 - 141

https://doi.org/10.1145/2559636.2559815

Published: 03 March 2014 Publication History

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Abstract

In our work we explore the development of a computational model capable of automatically detecting engagement in social human-robot interactions from real-time sensory and contextual input. However, to train the model we need to establish ground truths of engagement from a large corpus of data collected from a study involving task and social-task engagement. Here, we intend to advance the current state-of-the-art by reducing the need for unreliable post-experiment questionnaires and costly time-consuming annotation with the novel introduction of implicit probes. A non-intrusive, pervasive and embedded method of collecting informative data at different stages of an interaction.

References

[1]

J. Healey, "Recording affect in the field: Towards methods and metrics for improving ground truth labels," in Proceedings of the 4th International Conference on Affective Computing and Intelligent Interaction - Volume Part I, ser. ACII'11. Berlin, Heidelberg: Springer-Verlag, 2011, pp. 107--116.

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Google Scholar

[2]

H. Gunes and B. Schuller, "Categorical and dimensional affect analysis in continuous input: Current trends and future directions," Image and Vision Computing, 2012.

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Google Scholar

[3]

C. Rich, B. Ponsleur, A. Holroyd, and C. L. Sidner, "Recognizing engagement in human-robot interaction," in 5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010, 2010, pp. 375--382.

Digital Library

Google Scholar

[4]

D. J. Shernoff, M. Csikszentmihalyi, B. Schneider, and E. S. Shernoff, "Student engagement in high school classrooms from the perspective of flow theory," School Psychology Quarterly, vol. 18, no. 2, pp. 158--176, 2003.

Google Scholar

[5]

L. J. Corrigan, C. Peters, and G. Castellano, "Identifying task engagement: Towards personalised interactions with educational robots," in Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on, 2013, pp. 655--658.

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Cited By

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Laity WDossett BMamo RPittman DHaring K(2023)Active Participatory Social Robot Design Using Mind Perception AttributesSocial Robotics10.1007/978-3-031-24670-8_50(560-573)Online publication date: 2-Feb-2023
https://doi.org/10.1007/978-3-031-24670-8_50
McQuillin EChuramani NGunes HSakamoto DWeiss AHiatt LShiomi M(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User FeedbackProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523831(541-550)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.5555/3523760.3523831
Ligthart MNeerincx MHindriks KSakamoto DWeiss AHiatt LShiomi M(2022)Memory-Based Personalization for Fostering a Long-Term Child-Robot RelationshipProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523775(80-89)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.5555/3523760.3523775
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Index Terms

Mixing implicit and explicit probes: finding a ground truth for engagement in social human-robot interactions
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

March 2014

538 pages

ISBN:9781450326582

DOI:10.1145/2559636

General Chairs:
Gerhard Sagerer
Bielefeld University, Germany
,
Michita Imai
Keio University, Japan
,
Program Chairs:
Tony Belpaeme
Plymouth University, UK
,
Andrea Thomaz
Georgia Institute of Technology, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 03 March 2014

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HRI'14: ACM/IEEE International Conference on Human-Robot Interaction

March 3 - 6, 2014

Bielefeld, Germany

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HRI '14 Paper Acceptance Rate 32 of 132 submissions, 24%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Laity WDossett BMamo RPittman DHaring K(2023)Active Participatory Social Robot Design Using Mind Perception AttributesSocial Robotics10.1007/978-3-031-24670-8_50(560-573)Online publication date: 2-Feb-2023
https://doi.org/10.1007/978-3-031-24670-8_50
McQuillin EChuramani NGunes HSakamoto DWeiss AHiatt LShiomi M(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User FeedbackProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523831(541-550)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.5555/3523760.3523831
Ligthart MNeerincx MHindriks KSakamoto DWeiss AHiatt LShiomi M(2022)Memory-Based Personalization for Fostering a Long-Term Child-Robot RelationshipProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523775(80-89)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.5555/3523760.3523775
Ligthart MNeerincx MHindriks K(2022)Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889446(80-89)Online publication date: 7-Mar-2022
https://doi.org/10.1109/HRI53351.2022.9889446
McQuillin EChuramani NGunes H(2022)Learning Socially Appropriate Robo-waiter Behaviours through Real-time User Feedback2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI53351.2022.9889395(541-550)Online publication date: 7-Mar-2022
https://doi.org/10.1109/HRI53351.2022.9889395
Kothig AMunoz JAkgun SAroyo ADautenhahn K(2021)Connecting Humans and Robots Using Physiological Signals – Closing-the-Loop in HRI2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)10.1109/RO-MAN50785.2021.9515383(735-742)Online publication date: 8-Aug-2021
https://doi.org/10.1109/RO-MAN50785.2021.9515383
Tsiakas KAbujelala MMakedon F(2018)Task Engagement as Personalization Feedback for Socially-Assistive Robots and Cognitive TrainingTechnologies10.3390/technologies60200496:2(49)Online publication date: 14-May-2018
https://doi.org/10.3390/technologies6020049
Putze FKüster DAnnerer-Walcher SBenedek MD'Mello SGeorgiou PScherer SProvost ESoleymani MWorsley M(2018)Dozing Off or Thinking Hard?Proceedings of the 20th ACM International Conference on Multimodal Interaction10.1145/3242969.3243000(258-262)Online publication date: 2-Oct-2018
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Doherty KDoherty G(2018)Engagement in HCIACM Computing Surveys10.1145/323414951:5(1-39)Online publication date: 19-Nov-2018
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Obaid MGao YBarendregt WCastellano G(2017)Exploring Users’ Reactions Towards Tangible Implicit Probes for Measuring Human-Robot EngagementSocial Robotics10.1007/978-3-319-70022-9_40(402-412)Online publication date: 24-Oct-2017
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Role-Playing with Robot Characters: Increasing User Engagement through Narrative and Gameplay Agency

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